ROS-based 2-D Mapping Using Non-holonomic Differential Mobile Robot

This research proposes a 2-D mapping method by a mobile robot using LIDAR sensor. The mobile robot used is a non-holonomic type with a differential driver designed to operate in an indoor area. The robot applies an occupancy grid map method that uses a probability rule to handle the uncertainties of...

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Main Authors: Hendriyawan Achmad, Satyo Nuryadi, Wira Fadlun, Mohd Razali Daud
Format: Article
Language:Indonesian
Published: LPPM Institut Teknologi Telkom Purwokerto 2018-07-01
Series:Jurnal Infotel
Online Access:http://ejournal.st3telkom.ac.id/index.php/infotel/article/view/369
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spelling doaj-a0cc59619fc4473e86ac38acde12a99b2020-11-25T01:43:50ZindLPPM Institut Teknologi Telkom PurwokertoJurnal Infotel2085-36882460-09972018-07-01102758210.20895/infotel.v10i2.369369ROS-based 2-D Mapping Using Non-holonomic Differential Mobile RobotHendriyawan Achmad0Satyo Nuryadi1Wira Fadlun2Mohd Razali Daud3Universitas Teknologi YogyakartaUniversitas Teknologi YogyakartaUniversitas Teknologi YogyakartaUniversiti Malaysia PahangThis research proposes a 2-D mapping method by a mobile robot using LIDAR sensor. The mobile robot used is a non-holonomic type with a differential driver designed to operate in an indoor area. The robot applies an occupancy grid map method that uses a probability rule to handle the uncertainties of the sensor. The quality of 2-D occupied map relies on the accuracy of distance measurements by the LIDAR sensor and the accuracy of position estimation. Position estimation is obtained by using the 2-D LIDAR odometry which is based on the laser scan matching technique. This research uses simulation model which has characteristics like real nature. All the robotic software operations are managed by the Robot Operating System (ROS) as one of the most popular software frameworks currently used by robot researchers. The experimental results show that the robot can arrange a 2-D map well which is indicated by the similarity between the reference ground truth and the resulting 2-D map.http://ejournal.st3telkom.ac.id/index.php/infotel/article/view/369
collection DOAJ
language Indonesian
format Article
sources DOAJ
author Hendriyawan Achmad
Satyo Nuryadi
Wira Fadlun
Mohd Razali Daud
spellingShingle Hendriyawan Achmad
Satyo Nuryadi
Wira Fadlun
Mohd Razali Daud
ROS-based 2-D Mapping Using Non-holonomic Differential Mobile Robot
Jurnal Infotel
author_facet Hendriyawan Achmad
Satyo Nuryadi
Wira Fadlun
Mohd Razali Daud
author_sort Hendriyawan Achmad
title ROS-based 2-D Mapping Using Non-holonomic Differential Mobile Robot
title_short ROS-based 2-D Mapping Using Non-holonomic Differential Mobile Robot
title_full ROS-based 2-D Mapping Using Non-holonomic Differential Mobile Robot
title_fullStr ROS-based 2-D Mapping Using Non-holonomic Differential Mobile Robot
title_full_unstemmed ROS-based 2-D Mapping Using Non-holonomic Differential Mobile Robot
title_sort ros-based 2-d mapping using non-holonomic differential mobile robot
publisher LPPM Institut Teknologi Telkom Purwokerto
series Jurnal Infotel
issn 2085-3688
2460-0997
publishDate 2018-07-01
description This research proposes a 2-D mapping method by a mobile robot using LIDAR sensor. The mobile robot used is a non-holonomic type with a differential driver designed to operate in an indoor area. The robot applies an occupancy grid map method that uses a probability rule to handle the uncertainties of the sensor. The quality of 2-D occupied map relies on the accuracy of distance measurements by the LIDAR sensor and the accuracy of position estimation. Position estimation is obtained by using the 2-D LIDAR odometry which is based on the laser scan matching technique. This research uses simulation model which has characteristics like real nature. All the robotic software operations are managed by the Robot Operating System (ROS) as one of the most popular software frameworks currently used by robot researchers. The experimental results show that the robot can arrange a 2-D map well which is indicated by the similarity between the reference ground truth and the resulting 2-D map.
url http://ejournal.st3telkom.ac.id/index.php/infotel/article/view/369
work_keys_str_mv AT hendriyawanachmad rosbased2dmappingusingnonholonomicdifferentialmobilerobot
AT satyonuryadi rosbased2dmappingusingnonholonomicdifferentialmobilerobot
AT wirafadlun rosbased2dmappingusingnonholonomicdifferentialmobilerobot
AT mohdrazalidaud rosbased2dmappingusingnonholonomicdifferentialmobilerobot
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